Our research focuses on graphs and their multiple applications: from integrating graph databases to program comprehension or from finding subgraphs efficiently to the Web of Data.

At a time when every enterprise looks to leverage generative artificial intelligence, data sites are turning their attention to graph databases and knowledge graphs. The global graph database market ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Neo4j builds tools for creating graph databases, and today at its GraphConnect conference in New York City, it announced a new platform for developers to build graph-based applications using a common ...

(MENAFN- GetNews) NebulaGraph v5.2 unlocks AI-ready graph intelligence: 100x faster path queries, native hybrid search (graph + vector + text), and real-time subgraph compute for smarter, faster AI.

Building a dependable database management system is no easy task. You need to understand what the design trade-offs in the construction of a database management system are and also how those ...

Amazon Neptune: 6 Ways to Use the AWS Graph Database Your email has been sent Learn how you can use Amazon Neptune's Graph Database to simplify building and running graph applications. When Amazon Web ...

Graph Developer Proxy allows developers to test their Microsoft Graph applications locally by simulating Microsoft Graph API errors and mocking Microsoft Graph API responses. With Microsoft Graph ...